Variant interpretation using population databases: Lessons from gnomAD

Author:

Gudmundsson Sanna123ORCID,Singer‐Berk Moriel13ORCID,Watts Nicholas A.13,Phu William123ORCID,Goodrich Julia K.13ORCID,Solomonson Matthew13ORCID,Rehm Heidi L.134ORCID,MacArthur Daniel G.156ORCID,O'Donnell‐Luria Anne123ORCID,

Affiliation:

1. Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA USA

2. Division of Genetics and Genomics, Boston Children's Hospital Harvard Medical School Boston MA USA

3. Analytic and Translational Genetics Unit Massachusetts General Hospital Boston MA USA

4. Center for Genomic Medicine Massachusetts General Hospital Boston MA USA

5. Centre for Population Genomics, Garvan Institute of Medical Research University of New South Wales Sydney Sydney New South Wales Australia

6. Centre for Population Genomics Murdoch Children's Research Institute Melbourne Victoria Australia

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

National Human Genome Research Institute

Publisher

Wiley

Subject

Genetics (clinical),Genetics

Reference48 articles.

1. A map of human genome variation from population-scale sequencing

2. Recommendations for interpreting the loss of function PVS1 ACMG/AMP variant criterion

3. From FastQ data to high confidence variant calls: The Genome Analysis Toolkit best practices pipeline;Van der Auwera G. A.;Current Protocols in Bioinformatics/Editoral Board, Andreas D. Baxevanis … [et Al.],2013

4. Mendelian Gene Discovery: Fast and Furious with No End in Sight

5. Pathogenic ASXL1 somatic variants in reference databases complicate germline variant interpretation for Bohring-Opitz Syndrome

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